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# Senior Software Engineer - HMI & AI Systems

- **Company:** Fairmount Technologies
- **Location:** Derby, KS, United States
- **Experience:** Expert
- **Salary:** $80,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Artificial Intelligence, Software Applications, C Sharp (Programming Language), Databases, Data Architecture, Relational Databases, Database Queries, Memory Management, Human-Computer Interaction, Python (Programming Language), PostgreSQL, Machine Learning, Windows Presentation Foundation, Microsoft SQL Server, MongoDB, Model View ViewModel, NoSQL, Tensorflow, Software Engineering, SQL Databases, Windows Desktop, Windows Forms, Multithreading, Pytorch, Deep Learning, Reliability of Systems, Indexer, Data Layers, Information Technology, HMI Screens, Multiaccess Edge Computing
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=15d317008737ab21

## About the Role

Desktop & HMI Frameworks (C#)

 * Advanced WPF : Deep expertise in Windows desktop environments, including MVVM architecture, multithreading, custom control rendering, and memory management.
 * WinUI & Avalonia: Hands-on experience or strong working knowledge of building fluid Windows 11 apps and cross-platform desktop interfaces (Windows/ UI deployment).

Machine Learning & Intelligence (Python)

 * PyTorch & TensorFlow: Practical experience deploying and inferencing machine and deep learning models in real-world environments.
 * Python Engineering: Mastery of Python for analytics pipelines, sensor data preprocessing, and scripting to communicate with C# backends.

Databases & Telemetry

 * SQL: Strong proficiency in relational database schema design, indexing, and complex queries (e.g., SQL Server, PostgreSQL).
 * MongoDB: Solid understanding of NoSQL concepts for managing semi-structured telemetry, time-series data, and machine logs.

Qualifications & Preferred Skills

 * Experience: 5+ years of software engineering experience, with a heavy emphasis on desktop engineering and heavy data/AI application integration.
 * Domain Knowledge: Previous experience with manufacturing execution systems (MES), CNC controllers (Beckhoff preferred or similar systems like Fanuc, Siemens), or aviation/aerospace safety standards is a massive plus.
 * Education: Bachelor's degree in Computer Science, Aerospace Engineering, Robotics, or a related field.
 * Mindset: A strict commitment to software reliability, code safety, and high-precision execution required for manufacturing environments.

Regulatory & Location Requirements

 * Export Control Compliance: This position requires access to ITAR/EAR-controlled technologies. Applicants must be U.S. citizens or lawful permanent residents (Green Card holders) and eligible for employment under U.S. export control laws.
 * Location: Relocation to the Wichita / Derby, KS area is required. This role involves working closely with physical CNC hardware and aerospace manufacturing environments on the shop floor.

## Description

In this role, you will build and modernize Human-Machine Interface (HMI) desktop applications that control and monitor complex CNC machining systems. You will use C# to drive high-performance, real-time desktop UIs and Python to deploy predictive machine learning models at the edge. This role is critical to transforming raw machine telemetry into actionable, intelligent automation on the shop floor.

Core Responsibilities

 * Next-Gen HMI Development: Design, scale, and optimize high-performance desktop interfaces that connect operator control systems directly with CNC machinery.
 * UI Modernization: Maintain and enhance legacy WinForms developed on WPF applications, while actively pioneering migrations to modern, fluent architectures like WPF or WinUI and cross-platform ecosystems like Avalonia.
 * Edge Machine Learning Integration: Deploy, test, train, and optimize PyTorch and TensorFlow models inside production environments to handle anomalies, predict tool wear, and automate vision-based quality control in addition to predicting part deviations.
 * Hybrid Data Architecture: Build and manage data layers that combine structured configuration/part logs with scalable NoSQL (MongoDB) for high-frequency time-series sensor data.
 * Hardware-Software Synthesis: Collaborate with mechanical, electrical, and automation engineers to ingest CNC controller data seamlessly into your application workflows.